Koboldcpp v1.124 released
Koboldcpp, an open-source tool for running large language models locally, released version 1.124. The update targets the r/LocalLLaMA community; details of changes are not described in the post.
Koboldcpp is an open-source tool for running large language models locally. Recent coverage has focused on its releases and features: version v1.124 was announced on r/LocalLLaMA, following v1.121. In September 2026, KoboldCpp added a built-in Agent Harness enabled with a single checkbox, with 9 built-in tools, a 2k-token system prompt, MCP and AGENTS.md support, context compaction, and connections to any OpenAI Chat Completions-compatible service.
Koboldcpp, an open-source tool for running large language models locally, released version 1.124. The update targets the r/LocalLLaMA community; details of changes are not described in the post.
KoboldCpp now ships a built-in Agent Harness, enabled with a single checkbox and positioned as a lightweight alternative to Opencode, Codex, and Claude Code. It has 9 built-in tools and a 2k-token system prompt, supports MCP, AGENTS.md, and context compaction, and can connect to any OpenAI Chat Completions-compatible endpoint. Recommended: 28k context, 8k generation, 12GB VRAM.
The open‑source project Koboldcpp released version v1.121, announced on r/LocalLLaMA. The post serves as a release note for users to check the latest client/model‑inference updates.